{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### This is a placeholder. \n", "The data set used is the same as in Linear Regression where the data exploration was done in depth. \n", "So this section is just a place holder and the content is identical to the data exploration lesson in Linear Regression. \n", "Should we use a different data set for Logistic Regression in future, this is where the data exploration will go.\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.8" } }, "nbformat": 4, "nbformat_minor": 0 }